# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Starts(_BaseTraceHierarchyType): _parent_path_str = "streamtube" _path_str = "streamtube.starts" _valid_props = {"x", "xsrc", "y", "ysrc", "z", "zsrc"} @property def x(self): """ Sets the x components of the starting position of the streamtubes The 'x' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["x"] @x.setter def x(self, val): self["x"] = val @property def xsrc(self): """ Sets the source reference on Chart Studio Cloud for `x`. The 'xsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["xsrc"] @xsrc.setter def xsrc(self, val): self["xsrc"] = val @property def y(self): """ Sets the y components of the starting position of the streamtubes The 'y' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["y"] @y.setter def y(self, val): self["y"] = val @property def ysrc(self): """ Sets the source reference on Chart Studio Cloud for `y`. The 'ysrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["ysrc"] @ysrc.setter def ysrc(self, val): self["ysrc"] = val @property def z(self): """ Sets the z components of the starting position of the streamtubes The 'z' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["z"] @z.setter def z(self, val): self["z"] = val @property def zsrc(self): """ Sets the source reference on Chart Studio Cloud for `z`. The 'zsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["zsrc"] @zsrc.setter def zsrc(self, val): self["zsrc"] = val @property def _prop_descriptions(self): return """\ x Sets the x components of the starting position of the streamtubes xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the y components of the starting position of the streamtubes ysrc Sets the source reference on Chart Studio Cloud for `y`. z Sets the z components of the starting position of the streamtubes zsrc Sets the source reference on Chart Studio Cloud for `z`. """ def __init__( self, arg=None, x=None, xsrc=None, y=None, ysrc=None, z=None, zsrc=None, **kwargs, ): """ Construct a new Starts object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.streamtube.Starts` x Sets the x components of the starting position of the streamtubes xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the y components of the starting position of the streamtubes ysrc Sets the source reference on Chart Studio Cloud for `y`. z Sets the z components of the starting position of the streamtubes zsrc Sets the source reference on Chart Studio Cloud for `z`. Returns ------- Starts """ super().__init__("starts") if "_parent" in kwargs: self._parent = kwargs["_parent"] return if arg is None: arg = {} elif isinstance(arg, self.__class__): arg = arg.to_plotly_json() elif isinstance(arg, dict): arg = _copy.copy(arg) else: raise ValueError("""\ The first argument to the plotly.graph_objs.streamtube.Starts constructor must be a dict or an instance of :class:`plotly.graph_objs.streamtube.Starts`""") self._skip_invalid = kwargs.pop("skip_invalid", False) self._validate = kwargs.pop("_validate", True) self._set_property("x", arg, x) self._set_property("xsrc", arg, xsrc) self._set_property("y", arg, y) self._set_property("ysrc", arg, ysrc) self._set_property("z", arg, z) self._set_property("zsrc", arg, zsrc) self._process_kwargs(**dict(arg, **kwargs)) self._skip_invalid = False